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1 Quarter 2012| 27(1)
CAN THE DIETARY GUIDELINES FOR AMERICANS 2010 HELP TRIM AMERICA'S
WAISTLINE?
Patricia Duffy, Fumiko Yamazaki, and Claire A. Zizza
JEL Codes: I18, Q18
Keywords: Dietary Guidelines, Obesity
For the first time since the series began in 1980, the Dietary Guidelines for America 2010 (DGA 2010) call for
coordinated efforts from all sectors to improve the U.S. food environment to promote healthful choices that could lead
to a decrease in rates of obesity and overweight. This article discusses the rise in numbers of overweight and obese
people in the United States and reasons for concern about the increase in average body weight. It presents an
overview of scientific literature on the likely causes for the rapid increase in obesity in the past 30 years. Finally, it
examines the possible steps that could make the DGA 2010 more effective at managing the national waistline.
The “Obesity Epidemic”
Although early versions of the guidelines directly targeted consumers, since 2005 the guidelines have been a policy
document, intended for policymakers to use to design and carry out nutrition-related programs and for nutrition
educators and health professionals who directly interact with consumers. The increased focus on overweight and
obesity in the DGA 2010 comes as a response to dramatic increases in rates of obesity in the United States over the
past decades. The popular media abound with stories about the "obesity epidemic," and it is broadly understood that
Americans have grown fatter. Figure 1 shows U.S. adult overweight and obesity rates from the 1960s to the present.
Figure 2 shows obesity rates for children and adolescents. Obesity rates for all three age groups remained relatively
stable until the late 1970s, but increased sharply after that time. Currently, two out of three adult Americans are
overweight or obese (Flegal et al., 2012). For children, since the 1970s, the prevalence of obesity has tripled, rising
from around 5% to almost 17% (Ogden et al., 2012).
Obesity, especially at higher levels, is linked to premature death (Flegal et al., 2005; Engeland et al., 2004). It is
linked to cardiovascular disease, type 2 diabetes, fatty liver disease, gallstones, breathing and joint problems, gastroesophageal reflux, and poor mental health (NIH, 1998; Strine et al., 2008). Total national healthcare costs from
obesity were recently estimated at $147 billion, with the costs paid by third-party payers, including Medicare, over
$1,400 higher per year for people who are obese (Finkelstein et al., 2009). Indirect costs from income lost due to
health conditions and the opportunity cost of future earnings are also part of the economic toll of obesity (Wolf and
Colditz, 1998; Wellman and Friedberg, 2002). Adding to the economic burden of obesity, adults, especially white
women, may face discrimination in the job market because of their weight (Cawley, 2004; Puhl and Brownell, 2001).
Hence, concern over the national obesity rates, discussed at length in the DGA 2010, appears well justified from both
medical and economic perspectives.
It seems clear, given the rapid rise in obesity rates, that Americans have not followed recommendations of
maintaining a healthy weight, which have been included in the DGA since the series began. A related question
involves how well we have complied with the recommendations targeting diet quality, which have also been highly
consistent through the years. The Healthy Eating Index, or HEI, measures the quality of Americans' diets relative to
the DGA. The current version, HEI-2005, has 12 components: total fruit; whole fruit; total vegetables; dark green and
orange vegetables; total grains; whole grains; milk products and soy beverages; meat and beans; oils; saturated fat;
sodium; and calories from solid fats, alcoholic beverages, and added sugars (SoFAAS) (Guenther, Reedy, and
Krebs-Smith, 2008). Index values can range from 0 to 100, with higher scores associated with a higher-quality diet.
Researchers evaluated the diet quality of lower- and higher-income Americans, ages two and older, using dietary
data from the 2003-04 rounds of a national survey (USDA, CNPP, 2008). The average score, across all income
levels, was 57.5 out of the possible 100 points. Respondents did especially poorly on dark green and orange
vegetables, whole grains, sodium, and calories from SoFAAS. Surprisingly, total HEI-2005 scores were about the
same for lower- and higher-income respondents. There were, however, differences in the ways in which low- and
high-income respondents failed to meet the targets. (See the article by Palma and Jetter elsewhere in this issue for
details on the differences across income groups.)
The DGA series has included explicit recommendations on physical activity levels since 2000. The DGA 2010
physical activity recommendations are based on the
“Physical Activity Guidelines for Americans,” released in
2008 by the U.S. Department of Health and Human
Services. For adults, the DGA 2010 encourages a
minimum of 150 minutes per week of moderate-intensity
aerobic activity or 75 minutes of high-intensity aerobic
activity. For children six and older, an hour a day of
physical activity is recommended. Many Americans fail to
meet these targets. According to the Healthy People
website, more than 80% of adults and adolescents do not
meet the guidelines for both aerobic and musclestrengthening activities (USDHHS, Healthy People 2020,
2012a).
Evidence indicates that most Americans have not followed
recommendations in previous editions of the DGA in
terms of maintaining a healthy weight, eating a high
quality diet, and getting sufficient exercise. Given the
costs to our society of obesity, poor diet quality, and lack
of exercise, an important question is what can be done to
make the 2010 DGA more effective in altering people's
behaviors to reduce their risk of obesity? To answer that
question, it is first important to understand the factors
believed to be associated with rising rates of obesity.
An "Obesogenic" Environment
The DGA 2010 calls our current environment
"obesogenic," meaning that it promotes over-consumption
of energy and discourages physical activity. With such
striking changes in rates of obesity since the 1970s,
significant changes affecting food intake or energy
expenditure must have occurred in a short span of time.
From a physiological standpoint, the cause of obesity is
well understood: An individual incurs a persistent energy
imbalance, consuming more energy through food and
drink than is expended by physical activities. The excess
energy is stored as body fat. However, the complex
economic causes and consequences of obesity are yet to
be understood (Finkelstein et al., 2005). No paper of this size can do much justice to the extensive range of
investigations that have been made by economists, nutrition and health researchers, and other scientists concerning
the factors that may be linked to rising obesity rates; however, some of the major theories and findings are briefly
discussed here.
Evidence concerning changes in activity levels over time is mixed, with some studies (Church et al., 2011;
Lakdawalla and Philipson, 2002) suggesting a decrease, while others finding no significant changes since the mid1970s that would account for the surge in obesity rates (Westerterp and Speakman, 2008). There is, however, very
strong evidence that average daily energy intake, in the form of kcal—or "calories"—has increased substantially since
the 1970s, although estimates of the magnitude of the increase have varied from around 200 calories per day
(Leonard, 2010) to over 550 calories per day (Duffey and Popkin, 2011). The increased energy intake has been
attributed to changes in dietary patterns, such as an increase in consumption of high-calorie and low-nutrition snacks
including sugary beverages, larger portion sizes, and more food consumed away from home (Popkin, Duffey, and
Gordon-Larsen, 2005; Duffey and Popkin, 2011; Zizza, Siega-Riz, and Popkin, 2001).
One of the first rules of economics is that price matters. As a percentage of income, food, especially highly caloric
food, has become cheaper. But while food prices overall have declined since the 1970s, fruit and vegetable prices
have increased (Christian and Rashad, 2009). The low relative cost of "energy-dense" foods has been hypothesized
to be a factor in obesity (Drewnowski, 2004). The difference in relative prices for different types of food may also
explain some of the differences in rates of obesity found among different economic groups (Drewnowski and Specter,
2004). The time-cost of food has also fallen. For most Americans, food is now readily available and highly convenient
(Cutler, Glaeser, and Shapiro, 2003).
The "built environment," or the human-made environment that provides the setting for our day-to-day activities, has
been extensively studied in terms of dietary intake and physical activity (Papas et al., 2007). Long commutes;
highways without crosswalks, sidewalks or bicycle lanes; and high speed limits on crowded roads discourage
pedestrian traffic and bicycle-riding. Additionally, we have more access to prepared food. According to the DGA 2010,
the number of fast-food restaurants in the United States has doubled since the 1970s, and people of all ages who eat
out regularly, particularly at fast-food restaurants, increase their risk for overweight or obesity (USDA and USDHHS,
2010, page 11).
A study from the Economic Research Service of the U.S. Department of Agriculture (USDA) shows that foods eaten
away from home are more energy-dense than foods prepared at home (Guthrie, Lin, and Frazao, 2002), and some
economists have linked higher restaurant availability to higher obesity rates (Chou, Grossman, and Saffer,2004).
However, other research has found that while there is a link between food eaten away from home and obesity, the
effect is small (Cai et al., 2008). For fast-food restaurants, the effect may be concentrated on females and minorities
living in medium-density population areas, rather than broadly affecting the population (Dunn, 2010). Absence of fullservice grocery stores, especially in areas with high rates of poverty, has also been posited as a problem that
contributes to poor nutrition and health, but the current state of research on the issue of "food deserts" may not be
sufficient for economists to draw conclusions about the impact of this possible problem (Bitler and Haider, 2010).
The effect of portion sizes on food consumption has been studied, and experiments have shown that people will
consume more total calories when the amount served to them increases (Rolls, Morris, and Roe, 2002; Orlet Fisher,
Rolls, and Birch, 2003). Portion sizes in the United States began to increase in the 1970s and then rose sharply in the
1980s. In fast food restaurants, portions of French fries, hamburgers, and soda are now two to five times larger than
when first introduced to consumers (Young and Nestle, 2002). In many U.S. fast-food restaurants, the dramatic
increase in portion size has led to situations where consumers can take in almost a day's worth of energy and more
than the recommended daily amount of sodium with one low-cost, fast-food meal, a fact that can be easily verified by
checking the online nutritional information provided by the restaurant chains. The increase in portion size is not
limited to restaurants. Portions at home have also increased (Nielsen and Popkin, 2003).
While the food environment in America can be characterized as one in which a wide variety of convenient food is
readily available for consumption, a substantial percentage of the population also faces a condition known as "food
insecurity," meaning such people have limited or uncertain abilities to acquire sufficient, nutritionally adequate, and
safe foods in socially acceptable ways (Andersen, 1990). In 2010, 14.5 percent of U.S. households were food
insecure at least some time during that year, with a little over a third of that number experiencing more severe forms
of food insecurity (Coleman-Jensen et al., 2011). Food insecurity is highly related to poverty, but not all poor
households are food insecure. Food insecurity is linked to a variety of health problems and also to obesity, although
not all researchers have found that food insecurity, independent of poverty, is linked to poor health. (See Gundersen,
Kreider, and Pepper, 2011, for a thorough review of the literature on food insecurity.)
Federal nutrition programs, which are designed to alleviate food insecurity and improve dietary choices, have also
been implicated by some people in the rise of obesity among the poor. Some research links the Supplemental
Nutrition Assistance Program (SNAP, formerly called "food stamps") to higher rates of obesity (Gibson, 2003) and the
increased consumption of added sugars and fats (Wilde, McNamara, and Ranney 2009). Other research, however,
indicates that the effect of food stamps on obesity rates is small (Baum, 2011; Fan, 2010) and, at least for children,
the impact on obesity rates may occur primarily in areas with high food costs (Kimbro and Rigby, 2010). Further,
researchers have found that other forms of federal food aid that subsidize children's meals at schools or daycare
centers may be protective against childhood obesity (Kimbro and Rigby, 2010).
The relative prices of fruits and vegetables compared to foods high in added fats and sugars, the quest for
convenience, and an environment saturated with high-fat, high-sugar snacks and drinks may have more
consequences than over-consumption of energy. Poor diets lead to increased risk of chronic diseases, such as type 2
diabetes, hypertension, and certain cancers, as well as micronutrient deficiencies (CDC, 2012). Lack of exercise is
similarly linked to heightened risk for diseases, apart from its effect on body weight.
Can The Obesity Trend Be Reversed?
The consensus is clear that the current rates of obesity and overweight, with the contributory problems of poor diet
quality and lack of exercise, are linked to a number of medical, social, and financial problems. There is less
agreement on what, if anything, should be done about America's waistline. The DGA 2010 provides advice for
individuals, such as focusing on the total number of calories consumed; monitoring food intake; choosing smaller
portions or lower-calorie options when dining out; preparing, serving, and consuming smaller portions at home; eating
a nutrient-dense breakfast; getting sufficient exercise; and limiting screen time. Unlike past editions, which
recommended specific quantities, the 2010 key recommendations for dietary choices indicate increasing consumption
of some foods and decreasing consumption of others, which may be easier for most people to understand. All told,
these recommendations are sensible and, if undertaken, would likely lower an individual's risk of obesity and
otherwise contribute to his or her health. However, we have seen that many Americans are clearly not following these
recommendations.
The first step in making the DGA 2010 more effective in combating obesity is ensuring that everyone understands the
message. Estimating the energy content of foods is an area of difficulty for many Americans, and research has shown
that larger portion sizes add to the difficulty of accurate estimation (Geier and Rozin, 2009). Another area of
information distortion is that people either may not understand what is meant by a "healthy" weight or they may reject
the medical community's standards. A Harris poll found high rates of body size misperception, with 30% of overweight
people thinking they were normal size, 70 percent of obese people viewing themselves as overweight, and 39% of
morbidly obese people saying they were overweight but not obese (Harris Interactive, 2012).
Nutritional information for packaged food is already widely available, certainly far more available than it was 30 years
ago when obesity rates were much lower. Under the 1990 Nutrition Labeling and Education Act (NLEA), all packaged
food must bear nutrition labeling in a standard format, including calories per serving. Economic evaluation of the 1990
NLEA in terms of impact on obesity has been limited; however, one study shows these nutrition labels had a
beneficial impact on reducing body weight, but only among non-Hispanic, white females (Variyam and Cawley, 2006).
The 1990 NLEA may also have encouraged food processors to develop a wider range of low-fat products available to
consumers (Arsenault, 2010).
As a provision of the 2010 health care reform legislation, restaurant chains with 20 or more stores will be required to
post nutrition information on their standard menu items. Many such chains already provide this information voluntarily.
Currently, four states (California, Maine, New Jersey, and Oregon) have menu labeling laws (TFAH and RWJF,
2011). Again, research on the impact of this type of labeling is limited, but one study indicates posting calories leads
to a decrease of 6% in the number of calories per transaction (Bollinger, Leslie, and Sorensen, 2011).
Segmenting the consumer market may be a beneficial approach to making the DGA 2010 more relevant. Previous
research on dietary behavior has identified three types of women consumers, "better eaters," "fair eaters," and "poor
eaters" (Loughrey et al., 2001). Both the "better eaters" and the "fair eaters" were concerned about making healthful
food choices, while the "poor eaters" were less likely than the "better eaters" to believe in the importance of eating a
healthy diet. Finding a means to provide these different groups with different messages could be a helpful approach.
While the "better eaters" may need only simple tips and encouragement to maintain or improve their current diet, the
"fair eaters" may need more extensive messages appealing to their interests in taste and convenience. Finally,
reaching the "poor eaters" will require the most intensive effort. Cultural relevance of the nutrition message is also
important. Finding the budget to ensure that targeted and culturally relevant messages are delivered frequently may
be difficult in our current economic environment, however.
The DGA 2010 goes beyond providing individual recommendations that could be translated into a nutrition education
campaign; they advocate a society-wide, coordinated approach to the problem of obesity, involving families,
communities, policy-makers, and educators. A Social-Economic Model in the DGA 2010 includes individual factors;
the environmental settings; sectors of influence, which include government, public health and health care systems,
agriculture, community design, industry, and media; and social and cultural norms and values. The publication states:
"Interventions should extend well beyond providing traditional education to individuals and families about healthy
choices, and should help build skills, reshape the environment, and re-establish social norms to facilitate individuals’
healthy choices" (page 57). Suggested strategies include expanding access to healthy foods for all segments of the
population, partnering with producers and food suppliers to promote appropriate portions of nutritious food,
implementing the U.S. National Physical Activity Plan (USDHSS, 2008), ensuring that education on nutrition and
physical activity is provided to young people and that school meals and snacks are consistent with the dietary
guidelines, limiting food and beverage marketing to children, and promoting physical activity for children year-round.
In considering any sort of policy intervention, analysts will generally want answers to three questions: Will the policy
be effective? Will it be equitable? Will it be politically and socially acceptable? Rashad (2005), in discussing the
possible causes of the obesity epidemic, notes that government intervention to change adult behavior can be
controversial, and that the government "should get involved only in one of three cases: there is imperfect information,
there are externalities, or people do not behave rationally" (page 35). What constitutes "rational" behavior in respect
to diet, exercise, and obesity may be a matter for debate, however.
A pair of articles in a recent issue of the Australian Economic Review provides an illustration of two distinct
approaches to obesity, the "rational-choice" economic model (Mavromaras, 2008) and the "public health" model
(Moodie, 2008). The rational-choice economic model starts with the notion that our current obesity levels may not be
optimal from a medical standpoint, but that these levels may be chosen freely by consumers as a willing trade-off in
terms of their enjoyment of convenient and palatable food. If such is the case, no government intervention to change
behavior is justified, at least for adults, although mechanisms, such as increased health insurance premiums, could
possibly be explored to shift some or all of the excess medical costs to the consumers who "choose" obesity. As
Philipson and Posner (2003) state, ". . . in a model of human behavior in which people are assumed to be rational
actors, there is no such thing as being 'overweight.'"
By contrast, the public health model views obesity as a problem to be corrected because it is affecting so many
people and its consequences are severe. Under a public health model, where the goal is to protect and promote the
public's health and well-being, policy intervention to counter the rise of obesity may be viewed as justified if
consumers are not seen as behaving "rationally" when it comes to satisfying short-term choices for food and exercise
at the expense of their long-term health. Proponents of the public health model may point to the anti-smoking
campaign as a successful intervention that helped reduce disease and mortality. The anti-smoking campaign had
several components. Information about the risks of smoking was prominently displayed on tobacco product packages
and similar messages were conveyed through the mass media. Hefty taxes were levied on cigarettes and other
tobacco products. Advertising of cigarettes and other products was severely curtailed. Finally, physicians were
enlisted to bring the message to their tobacco-using patients that these products were harmful to their health. In more
recent years, bans on smoking in public places have made smoking inconvenient.
A recent article in “Lancet” provides an overview, based on available literature, of various strategies that could
potentially reduce obesity rates (Gortmaker et al., 2011). Although diet and exercise, low-fat diets, family counseling
for obese children, and gastric banding were among the reported strategies with the strongest scientific evidence of
effectiveness, these individual interventions were not judged the most cost effective in terms of overall societal
benefits, as measured by disability-adjusted life years saved. The three most cost-effective strategies, according to
this article, might instead be environmental interventions similar to those used in the anti-tobacco campaign: taxing
"unhealthy" foods and beverages, using front-of-pack "traffic light" labeling, and reducing "junk food" advertising to
children. Scientific evidence for the effectiveness of these strategies is not always strong, however (Gortmaker et al.,
2011; Avenell and Goode, 2008).
According to the DGA 2010, solid fats and added sugars make up a little over one-third of the typical American's daily
energy intake, without otherwise contributing importantly to the nutrient quality of the diet. The goal of so-called "junk
food" taxes would be to increase the prices of products high in solid fats and added sugars so that consumers would
purchase fewer of them. Thirty states already tax soda more than other foods, but the tax rates are modest,
averaging around 6% (Bridging the Gap Program, 2011) and demand for sugar-sweetened beverages is generally
agreed to be inelastic, meaning it takes a relatively large hike in price to affect consumption to an appreciable degree
(Zhen et al., 2010; Lin et al., 2011). The potential costs and benefits of a "soda tax" have been discussed thoroughly
in a recent issue of this journal (Choices, Issue 14, 2011) and thus will not be discussed in detail here. However,
economists have pointed out the importance of considering substitutes for the taxed beverages and that the long-run
and short-run effects of the tax may differ (Dharmasena and Capps, 2011; Zhen et al., 2010).
By nature, any consumption tax is highly regressive, meaning it falls more heavily on those with lower incomes,
especially if lower-income individuals are less willing or able to switch to other, non-taxed items. As such,
consumption taxes may fail the "equity" test for interventions unless the revenue generated benefits the low-income
consumers enough to off-set their cost. Because low-income people are especially vulnerable to increased risk of
obesity, using the money generated by the tax to fund public health programs may make these policies more
equitable. Indeed, public support for soda taxes has been shown to be high when the money raised from the tax has
gone to such purposes (Chaloupka, Powell, and Chriqui, 2011). However, no research is yet available to show that
taxes on soda, or other "junk food" such as salty snacks, would be economically efficient in terms of benefits and
costs (Lusk and Schroeter, 2011; Kuchler, Tegene, and Harris, 2005.)
"Traffic light" labeling involves a "green light," "yellow light," or "red light" symbol prominently displayed on the front of
the food package, with "green light" foods being those considered most healthful, and "red light" foods the least
healthful. Overseas, where traffic light labeling is being pioneered, the symbols appear for total fats, saturated fats,
sodium, and sugars. On the surface, the "traffic light" symbols would appear to provide a simple visual cue, which
might help some individuals make dietary choices more in line with the DGA 2010. However, while little research is
yet available on the impact of this type of labeling on consumer choices, the existing evidence does not show this
labeling scheme to be effective in changing purchasing patterns (Sacks et al., 2011; Sacks, Rayner, and Swinburn,
2009).
The U.S. Institute of Medicine was recently charged with reviewing front-of-pack nutrition labeling and has issued two
reports. These reports indicate that there is some limited evidence that simple and clear front-of-pack labeling may
encourage the selection of healthier products; however, research to date has not targeted children or other vulnerable
population groups (Institute of Medicine, 2010 and 2011). The second report included the recommendation that the
Food and Drug Administration and the USDA should develop, test, and implement a standard front-of-pack labeling
system for all food and beverage products, along with deploying a promotional and awareness campaign (Institute of
Medicine, 2011).
Every year, billions of dollars are spent on food and beverage advertising in the United States. Limiting advertising of
low-nutrient, high-calorie foods and beverages to children may seem a reasonable step, given that children are more
impressionable than adults. However, protections on free speech may make a U.S. advertising ban infeasible or, at
the least, unpopular. An alternative would be to eliminate the tax deductibility of such advertisements. Economists
have estimated that elimination of tax deductibility for fast food ads would reduce their viewing by 40% for children
and 33% for adolescents. In turn, this move would reduce the number of overweight children by 7% and the number
of overweight adolescents by 5% (Chou, Rashad, and Grossman, 2008). Such a policy would have the added
advantage of increasing tax revenues.
In a public health model, physicians would be important players in the goal of reducing obesity. However, research
shows that there are important barriers to their participation in this effort, including inadequate training in diet and
weight-loss counseling (Forman-Hoffman, Little, and Wahls, 2006). Further, physicians, like the rest of the public, are
not immune to being overweight and obese, and doctors who do not maintain a healthy weight are less likely to
counsel their obese patients about weight loss (Bleich et al., 2012). Obesity counseling by primary care physicians,
even when offered, is not always found to be effective (Noël et al., 2011).
Thus, based on available research evidence, the type of public health tools that proved effective for reducing tobacco
use may not work as well at reversing the obesity epidemic. Unlike tobacco use, obesity springs from a complex
interaction of genetics and behavior, influenced by multiple factors in the environment. Further, many foods include a
combination of healthful and less healthful ingredients—for example, fruit pies—or healthy ingredients prepared in
less healthful ways—for example, fried chicken—making the parallel to tobacco uncertain and the targeted products
for taxation or advertising restrictions far less clear.
A bridge between the "rational choice" economic model and the "public health" model may possibly be found in the
field of behavioral economics. Behavioral economics addresses the problem of self-control in an economic framework
that views long-run decisions as sometimes running contrary to short-run behavior. People may desire to save more
for retirement or, in the context of this article, to eat better, exercise more, and achieve or maintain a healthy weight.
However, short-term temptations thwart these long-run plans, leaving the consumer worse off than if he or she could
muster more self-control. If such a model accurately describes human behavior, then "soft paternalism" or a form of
presenting choices in such a way as to lead to better outcomes may be justified. An example of "nudging" people into
making choices more consistent with their long-term goals is arranging food in a cafeteria line so that healthier
choices are more prominently displayed (Thaler and Sunstein, 2008). Modifying the built environment so that people
have more opportunities to walk or bicycle would be another way of presenting people with more choices, rather than
constraining their options. However, bike lanes, pedestrian crossings, and green spaces all come at a cost, and either
higher local taxes or other items of potential benefit to taxpayers—for example, better highway maintenance—may be
the trade-offs. (See Cash and Schroeter (2010)) for more discussion on how behavioral economics might help frame
choices that affect obesity rates.)
Finally, changes in certain government nutrition programs may be seen as a way to affect obesity rates, at least for
targeted groups. The Healthy, Hunger-Free Kids Act of 2010 provides the USDA with the ability to make significant
changes in the school lunch and breakfast programs, including improvements to the nutritional quality of the meals.
This Act also gives the USDA authority to set nutritional standards for all foods sold in schools, including in vending
machines, the "a la carte" lunch lines, and school stores. Some have advocated limiting purchases with SNAP
benefits to healthful foods (Townsend, 2006). However, only Congress can decide what constitutes eligible food
under SNAP, and there are currently no standards on what constitutes "healthy" or "unhealthy" food. Further, limiting
food choices would be likely to increase the complexity and cost of administering the program (USDA, FNS, 2012).
The article by Palma and Jetter, elsewhere in this issue, provides an extended discussion of the array of federal
nutrition programs and how these programs may be affected by the DGA 2010.
The White House Task Force on Childhood Obesity recently issued a report to the President, advocating a multidisciplinary, multi-pronged approach to reduce childhood obesity. Among other strategies, the report calls for
improved labels on food and menu items, reduced marketing of some food products considered unhealthful to
children, and improved health care services, including body mass index (BMI) measurement for all children (White
House Task Force on Childhood Obesity, 2010). These recommendations specifically target children and do not
address the problem of adult obesity, which may be more intractable. However, if childhood obesity can be curtailed
in the current generation, in the long-run adult obesity could also be reduced.
Some Concluding Thoughts
Despite decades of consistent dietary recommendations from the U.S. government, many Americans eat a diet that
considerably misses the nutritional targets. Poor diet quality is linked to higher body weight and poor health. As seen
in the shift of the DGA target audience from individual consumers to policymakers, the federal government has
realized that obesity is more than an individual-level problem. If we are to significantly reduce the levels of overweight
and obesity in this country, more aggressive measures may be necessary beyond the periodic updating of healthy
eating guidelines. The difficultly lies in determining the path such efforts should follow.
To inform the policy debate, it is necessary to expand our research on plausible policy alternatives and their
consequences. How do we expand access to healthy foods for all segments of the population, partner with producers
and food suppliers to promote appropriate portions of nutritious food choices, ensure that education on nutrition and
physical activity is provided to young people, and that school meals and snacks fit the dietary guidelines? At the
national level we have few tools available beyond tax incentives or penalties, along with measures such as control of
purchasing choices of SNAP recipients and related government food assistance programs. But even these choices
are wrought with potential problems and concerns. Only through an expanded and focused research agenda can
each alternative be vetted and a responsible plan developed. However, in today’s budgetary environment, finding
public money to support such an effort may be more difficult than curbing the obesity epidemic itself.
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Patricia Duffy ([email protected]) is Professor Department of Agricultural Economics and Rural Sociology at
Auburn University, Alabama. Fumiko Yamazaki ([email protected]) is Senior Research Economist, Center
for Agricultural Business, California State University, Fresno, California. Claire A. Zizza ([email protected]) is
Associate Professor of Nutrition at Auburn University, Alabama.
The views expressed are those of the authors and do not necessarily reflect the positions of the Federal Reserve
Bank of Kansas City, the Federal Reserve System, or Purdue University.
© 1999-2012 Choices. All rights reserved. Articles may be reproduced or electronically distributed as long as
attribution to Choices and the Agricultural & Applied Economics Association is maintained.